[Feature request] Propose a shared model location

[tcmaps]

There are so many SD-webuis now and each is saving the models inside it's own directory structure. Novice users unbeknownst of symlinking or launch parameter will divert to upgrading their drives, uneedingly wasting resources.

Someone should take the lead and define a default location in AppData/Local on Windows or the user's home directory on *nix. HF diffusers is a positive example with using a system-wide cache.

[WinstonWoof]

Noooooo, I dont want anything being written to my "normal" windows folders. I want all of the installs to be standalone.

What would be useful though is if maintainers put instructions on how to create symlinks etc as part of the install (although thats a sperate issue , so many 12 o'colck flashers dont read any of the documentation as it is!!

[ke1ne]

@lllyasviel I would propose to:

1. make downloading of models optional instead of forced;
2. add settings page so user can set paths to existing model directories.

[jlitz]

yea doesn't make sense to d/l the models again should be optionable or have a setting to point to stored models.

[teadrinker]

Please support configurable paths similar to ComfyUI:

https://github.com/comfyanonymous/ComfyUI/blob/master/extra_model_paths.yaml.example

[uarefans]

Notes: Just work for me, i don't know if this code break author code, just want share

1. create config.json in same folder with readme.md (change C:\Users\new\AI_Model with your model folder )

   {
       "modelfile_path": "C:\\Users\\new\\AI_Model\\checkpoints",
       "lorafile_path": "C:\\Users\\new\\AI_Model\\loras",
       "temp_outputs_path": "C:\\Users\\new\\AI_Fooocus\\Fooocus\\outputs"
   }

2. edit Fooocus\modules\path.py

import os
import json

# Load configuration from config.json
with open(os.path.abspath(os.path.join(os.path.dirname(__file__), '../config.json')), 'r') as config_file:
    config = json.load(config_file)

# Access configuration values
modelfile_path = config["modelfile_path"]
lorafile_path = config["lorafile_path"]
temp_outputs_path = config["temp_outputs_path"]

# Delete or comment this 3 lines
#modelfile_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '../models/checkpoints/'))
#lorafile_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '../models/loras/'))
#temp_outputs_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '../outputs/'))

# ... existing code

[eypacha]

@uarefans This simple code is a good idea for a pull quest, I would only add some conditionals (to not download models on first run if custom folders are declared) and and Try Except for handle it. What do you think? I am not saying that you should do it, in a few days if I have free time I can write it.

[mashb1t]

This is all now possible by using presets and the config.txt. Closing this issue.